From d303f84e7bca4d70eb9685e620f74454d940b991 Mon Sep 17 00:00:00 2001 From: Gunnlaugur Thor Briem Date: Tue, 17 Dec 2019 16:18:00 +0000 Subject: [PATCH] fix: wrong architecture count in README MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Just say “the following” so that this intro doesn't so easily fall out of date :) ) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c33a65bdbb..e8f883c3e1 100644 --- a/README.md +++ b/README.md @@ -132,7 +132,7 @@ At some point in the future, you'll be able to seamlessly move from pre-training ## Model architectures -🤗 Transformers currently provides 10 NLU/NLG architectures: +🤗 Transformers currently provides the following NLU/NLG architectures: 1. **[BERT](https://github.com/google-research/bert)** (from Google) released with the paper [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805) by Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova. 2. **[GPT](https://github.com/openai/finetune-transformer-lm)** (from OpenAI) released with the paper [Improving Language Understanding by Generative Pre-Training](https://blog.openai.com/language-unsupervised/) by Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever.